Pierre Elias

1.9k total citations
28 papers, 460 citations indexed

About

Pierre Elias is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Pierre Elias has authored 28 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Molecular Biology. Recurrent topics in Pierre Elias's work include Cardiovascular Function and Risk Factors (5 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (5 papers) and Cardiac Imaging and Diagnostics (4 papers). Pierre Elias is often cited by papers focused on Cardiovascular Function and Risk Factors (5 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (5 papers) and Cardiac Imaging and Diagnostics (4 papers). Pierre Elias collaborates with scholars based in United States, Canada and Israel. Pierre Elias's co-authors include Yifan Peng, Greg Durrett, Zhaoyi Sun, Jordan G. Nestor, Justin F. Rousseau, Chunhua Weng, Liyan Tang, Ali Soroush, Betina Idnay and Ying Ding and has published in prestigious journals such as Circulation, Blood and Journal of the American College of Cardiology.

In The Last Decade

Pierre Elias

22 papers receiving 450 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pierre Elias United States 11 114 109 108 96 57 28 460
Qinyu Zhao China 13 50 0.4× 49 0.4× 100 0.9× 30 0.3× 42 0.7× 28 582
Joseph B. Leader United States 13 52 0.5× 296 2.7× 133 1.2× 18 0.2× 88 1.5× 23 748
Supawadee Suppadungsuk Thailand 15 194 1.7× 25 0.2× 23 0.2× 290 3.0× 85 1.5× 49 545
Anna Ostropolets United States 11 64 0.6× 84 0.8× 57 0.5× 19 0.2× 22 0.4× 33 459
Jean Feng United States 11 106 0.9× 39 0.4× 106 1.0× 140 1.5× 89 1.6× 41 576
Aya Awad Israel 8 141 1.2× 30 0.3× 64 0.6× 41 0.4× 29 0.5× 10 343
Rachael V. Phillips United States 11 86 0.8× 10 0.1× 57 0.5× 119 1.2× 63 1.1× 20 444
Raffaele Rasoini Italy 5 221 1.9× 99 0.9× 17 0.2× 249 2.6× 162 2.8× 8 715
Evan Sholle United States 15 135 1.2× 53 0.5× 56 0.5× 50 0.5× 47 0.8× 40 543
Enrico Longato Italy 12 65 0.6× 64 0.6× 107 1.0× 8 0.1× 48 0.8× 31 880

Countries citing papers authored by Pierre Elias

Since Specialization
Citations

This map shows the geographic impact of Pierre Elias's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pierre Elias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Elias more than expected).

Fields of papers citing papers by Pierre Elias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pierre Elias. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pierre Elias. The network helps show where Pierre Elias may publish in the future.

Co-authorship network of co-authors of Pierre Elias

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Elias. A scholar is included among the top collaborators of Pierre Elias based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pierre Elias. Pierre Elias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Urteaga, Iñigo, George Hripcsak, Pierre Elias, et al.. (2025). AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validation. Journal of the American Medical Informatics Association. 32(3). 589–594. 4 indexed citations
2.
Lapointe, Anie, Emmanouil Rampakakis, Jessica Simoneau, et al.. (2025). Cardiac biomarkers predict low right ventricle performance in neonatal encephalopathy. Journal of Perinatology. 45(7). 927–934.
3.
Poterucha, Timothy J., et al.. (2025). Seeing Is Believing. Journal of the American College of Cardiology. 86(13). 979–981.
4.
Hughes, J. Weston, Sulaiman Somani, Pierre Elias, et al.. (2024). Simple models vs. deep learning in detecting low ejection fraction from the electrocardiogram. European Heart Journal - Digital Health. 5(4). 427–434. 2 indexed citations
5.
Long, Ann C., Christopher M. Haggerty, Dustin N. Hartzel, et al.. (2024). DELINEATE-Regurgitation: deep learning for automated assessment of aortic, mitral, and tricuspid regurgitation from echocardiography. European Heart Journal. 45(Supplement_1).
6.
7.
Hughes, J. Weston, James Tooley, Jessica Torres Soto, et al.. (2023). A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease. npj Digital Medicine. 6(1). 169–169. 28 indexed citations
8.
Miller, Peter, Mathew S. Maurer, Andrew J. Einstein, Pierre Elias, & Timothy J. Poterucha. (2023). Recognizing Cardiac Amyloidosis Phenotype by Echocardiography Increases Downstream Testing. Journal of the American Society of Echocardiography. 36(12). 1326–1329. 2 indexed citations
9.
Jing, Linyuan, Dustin N. Hartzel, Daniel Rocha, et al.. (2023). Abstract 14647: EchoNext: An ECG-Based Deep Learning Model to Detect Structural Heart Disease. Circulation. 148(Suppl_1). 2 indexed citations
10.
Elias, Pierre, et al.. (2023). Left Ventricular Function and Dimensions Are Altered Early in Infants Developing Brain Injury in the Setting of Neonatal Encephalopathy. The Journal of Pediatrics. 261. 113585–113585. 3 indexed citations
11.
Tang, Liyan, Zhaoyi Sun, Betina Idnay, et al.. (2023). Evaluating large language models on medical evidence summarization. npj Digital Medicine. 6(1). 158–158. 171 indexed citations
12.
Poterucha, Timothy J., Farbod Raiszadeh, Sergio Teruya, et al.. (2022). Relation of Body Mass Index to Transthyretin Cardiac Amyloidosis Particularly in Black and Hispanic Patients (from the SCAN-MP Study). The American Journal of Cardiology. 177. 116–120. 4 indexed citations
13.
Yarmohammadi, Hirad, John Morrow, José Dizon, et al.. (2021). Frequency of Atrial Arrhythmia in Hospitalized Patients With COVID-19. The American Journal of Cardiology. 147. 52–57. 13 indexed citations
14.
Elias, Pierre, Timothy J. Poterucha, Shreyas Bhave, et al.. (2021). LVHNET: DETECTING CARDIAC STRUCTURAL ABNORMALITIES FROM CHEST X-RAYS USING CONVOLUTIONAL NEURAL NETWORKS. Journal of the American College of Cardiology. 77(18). 3261–3261.
15.
Wan, Elaine Y., Marc Waase, John Morrow, et al.. (2020). Clinical and cardiac characteristics of COVID‐19 mortalities in a diverse New York City Cohort. Journal of Cardiovascular Electrophysiology. 31(12). 3086–3096. 35 indexed citations
16.
Poterucha, Timothy J., Pierre Elias, Sabahat Bokhari, et al.. (2020). Diagnosing Transthyretin Cardiac Amyloidosis by Technetium Tc 99m Pyrophosphate. JACC. Cardiovascular imaging. 14(6). 1221–1231. 63 indexed citations
17.
Poterucha, Timothy J., Pierre Elias, Frederick L. Ruberg, et al.. (2020). The importance of SPECT cardiac reconstruction for accurate 99mTc-pyrophosphate interpretation in TTR amyloidosis. Journal of Nuclear Cardiology. 29(3). 1478–1480. 2 indexed citations
18.
Elias, Pierre, et al.. (2015). A Web-Based Tool for Patient Triage in Emergency Department Settings: Validation Using the Emergency Severity Index. JMIR Medical Informatics. 3(2). e23–e23. 5 indexed citations
19.
Elias, Pierre, et al.. (2013). InSpire to Promote Lung Assessment in Youth: Evolving the Self-Management Paradigms of Young People With Asthma. PubMed. 2(1). e1–e1. 22 indexed citations
20.
Meyer, Todd, Ali Amirkhosravi, Florian Länger, et al.. (2006). Targeting Angiogenesis in Cancer: Bevacizumab-Induced Platelet Activation as a Possible Cause for Unexpected Arterial Thromboembolic Events in Clinical Trials.. Blood. 108(11). 1091–1091. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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